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eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

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eBook – Reactive – NPI EA (cat=Reactive)
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Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Jackson – NPI EA (cat=Jackson)
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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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eBook – Maven – NPI EA (cat = Maven)
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eBook – Persistence – NPI EA (cat=Persistence)
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eBook – RwS – NPI EA (cat=Spring MVC)
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Course – LS – NPI EA (cat=Jackson)
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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

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Course – LSS – NPI EA (cat=Spring Security)
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Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.

You can explore the course here:

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Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

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Course – LJB – NPI EA (cat = Core Java)
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eBook – Java Streams – NPI (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

>> Join Pro and download the eBook

1. Overview

Stream API is one of the major new features in Java 8.

In this tutorial, we’ll discuss an interesting topic: the difference between Stream.of() and IntStream.range().

2. Introduction to the Problem

We can initialize a Stream object using the Stream.of() method, e.g., Stream.of(1, 2, 3, 4, 5). Alternatively, if we want to initialize a Stream of integers, IntStream is a more straightforward type to use, for instance, IntStream.range(1, 6). However, the behaviors of integer Streams created by these two approaches can be different.

As usual, we’ll understand the problem through an example. First, let’s create two Streams in different ways:

Stream<Integer> normalStream = Stream.of(1, 2, 3, 4, 5);
IntStream intStreamByRange = IntStream.range(1, 6);

Next, we’d execute the same routine on the two Streams above:

STREAM.peek(add to a result list)
  .sorted()
  .findFirst();

So, we invoke three methods on each Stream:

  • first – invoke the peek() method to collect processed elements to a result list
  • then – sort the elements
  • finally – take the first element from the Stream

As the two Streams contain the same integer elements, we’d think after the executions, the two result lists should also contain the same integers. So next, let’s write a test to check if it produces the result we expect:

List<Integer> normalStreamPeekResult = new ArrayList<>();
List<Integer> intStreamPeekResult = new ArrayList<>();

// First, the regular Stream
normalStream.peek(normalStreamPeekResult::add)
  .sorted()
  .findFirst();
assertEquals(Arrays.asList(1, 2, 3, 4, 5), normalStreamPeekResult);

// Then, the IntStream
intStreamByRange.peek(intStreamPeekResult::add)
  .sorted()
  .findFirst();
assertEquals(Arrays.asList(1), intStreamPeekResult);

After the execution, it turns out that the result list filled by normalStream.peek() contains all integer elements. However, the list filled by intStreamByRange.peek() has only one element.

Next, let’s figure out why it works like that.

3. Streams Are Lazy

Before we explain why the two Streams produced different result lists in the earlier test, let’s understand that Java Streams are lazy by design.

The “lazy” means that Streams only perform the desired operations when they are told to produce a result. In other words, the intermediate operations on a Stream aren’t executed until a terminal operation is performed. This lazy behavior can be an advantage since it allows for more efficient processing and prevent unnecessary computations.

To understand this lazy behavior quickly, let’s temporarily get rid of the sort() method call from our previous test and rerun it:

List<Integer> normalStreamPeekResult = new ArrayList<>();
List<Integer> intStreamPeekResult = new ArrayList<>();

// First, the regular Stream
normalStream.peek(normalStreamPeekResult::add)
  .findFirst();
assertEquals(Arrays.asList(1), normalStreamPeekResult);

// Then, the IntStream
intStreamByRange.peek(intStreamPeekResult::add)
  .findFirst();
assertEquals(Arrays.asList(1), intStreamPeekResult);

Both Streams have filled only the first element in the corresponding result list this time. This is because the findFirst() method is the terminal operation, requiring only one element – the first one.

Now that we understand Streams are lazy, next, let’s figure out why the two result lists are different when the sorted() method joins the party.

4. Calling sorted() May Turn the Stream Into “Eager”

First, let’s take a look at the Stream initialized by Stream.of(). The terminal operation findFirst() only requires the first integer in the Stream. But it’s the first one after the sorted() operation.

We know that we must traverse all integers to sort them. Therefore, calling sorted() has turned the Stream into “eager.” So, the peek() method gets called on every element.

On the other hand, IntStream.range() returns a sequentially-ordered IntStream. That’s to say, the input of the IntStream object is already sorted. Furthermore, when it sorts an already sorted input, Java applies the optimization to make the sorted() operation no-opTherefore, we still have only one element in the result list.

Next, let’s see another example of a Stream based on TreeSet:

List<String> peekResult = new ArrayList<>();

TreeSet<String> treeSet = new TreeSet<>(Arrays.asList("CCC", "BBB", "AAA", "DDD", "KKK"));

treeSet.stream()
  .peek(peekResult::add)
  .sorted()
  .findFirst();

assertEquals(Arrays.asList("AAA"), peekResult);

We know that TreeSet is a sorted collection. Therefore, we see the peekResult list contains only one string, although we’ve called sorted().

5. Conclusion

In this article, we took Stream.of() and IntStream.range() as examples to understand calling sorted() may turn a Stream from “lazy” to “eager”.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
Baeldung Pro – NPI EA (cat = Baeldung)
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

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Once the early-adopter seats are all used, the price will go up and stay at $33/year.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

>> Download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

>> Join Pro and download the eBook

eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

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Course – LS – NPI EA (cat=REST)

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Get started with Spring Boot and with core Spring, through the Learn Spring course:

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Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

eBook – Java Streams – NPI (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

>> Join Pro and download the eBook

eBook Jackson – NPI EA – 3 (cat = Jackson)
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